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Completed by JACOB P STROCK

November 22, 2021

Approximately 2 months at 10 hours a week to complete

JACOB P STROCK's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.

Course Certificates Completed

Machine Learning with Python

Building Deep Learning Models with TensorFlow

AI Capstone Project with Deep Learning

Introduction to Deep Learning & Neural Networks with Keras

Introduction to Computer Vision and Image Processing

Deep Neural Networks with PyTorch

IBM AI Engineering

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What you will learn

Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn
Deploy machine learning algorithms and pipelines on Apache Spark
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow

Skills you will gain

Machine Learning
Deep Learning
Artificial Neural Networks
Human Learning
Python Programming
Machine Learning Algorithms
Applied Machine Learning
Algorithms
Regression
Network Model
Mathematics
Computer Vision

View certificate for JACOB P STROCK, IBM AI Engineering, offered through Coursera. Learners who have completed this 6 course Professional Certificate have a practical understanding of Machine Learning (ML) & Deep Learning (DL). They have technical skills to start a career in AI Engineering, and can:
• Implement ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction using scipy & scikitlearn
• Perform ML on Big Data and deploy ML Algorithms and Pipelines on Apache Spark
• Demonstrate understanding of Deep Learning models such as autoencoders, restricted Boltzmann machines, convolutional networks, recursive neural networks, and recurrent networks
• Build deep learning models and neural networks using Keras, PyTorch and Tensorflow libraries
• Demonstrate ability to present and communicate outcomes of deep learning projects

Course Certificates

Earned after completing each course in the Specialization

Machine Learning with Python

IBM

Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo

Completed by: JACOB P STROCK by June 26, 2021

5-6 weeks of study, 3-6 hours per week

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Building Deep Learning Models with TensorFlow

IBM

Taught by: Samaya Madhavan, Ricky Shi, Alex Aklson, Romeo Kienzler, Joseph Santarcangelo, JEREMY NILMEIER & IBM Skills Network Team

Completed by: JACOB P STROCK by June 29, 2021

7 weeks of study, 2–3 hours per week

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AI Capstone Project with Deep Learning

IBM

Taught by: Alex Aklson & Joseph Santarcangelo

Completed by: JACOB P STROCK by November 22, 2021

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Introduction to Deep Learning & Neural Networks with Keras

IBM

Taught by: Alex Aklson

Completed by: JACOB P STROCK by July 5, 2021

2 - 3 hours/week

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Introduction to Computer Vision and Image Processing

IBM

Taught by: Aije Egwaikhide & Joseph Santarcangelo

Completed by: JACOB P STROCK by July 3, 2021

6 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)

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Deep Neural Networks with PyTorch

IBM

Taught by: Joseph Santarcangelo

Completed by: JACOB P STROCK by June 28, 2021

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